Nordine Quadar | Energy | Best Researcher Award

Mr. Nordine Quadar | Energy | Best Researcher Award

Researcher at Royal Military College of Canada, Canada.

๐ŸŒNordine Quadar is an accomplished researcher and technical leader specializing in electrical and computer engineering, cybersecurity, machine learning, and wireless communications. His expertise spans developing optimized algorithms for hardware-restricted devices, advancing AI capabilities in natural language processing, and enhancing cybersecurity for UAVs and IoT systems. He has a proven ability to balance high-quality research with leadership roles, including project and team management. His contributions are well-documented through an extensive list of publications in high-impact journals and conferences, emphasizing practical applications of machine learning and cybersecurity.

Profile๐Ÿ‘ค

Education ๐ŸŽ“

๐ŸŽ“PhD in Computer Science (2022โ€“2025) – Royal Military College of Canada, focusing on enhancing UAV cybersecurity with edge AI. MASc in Electrical & Computer Engineering (2015โ€“2018) – University of Ottawa, with a thesis on spatial modulation in MIMO-CDMA systems. BASc in Electrical Engineering (2011โ€“2014) – University of Ottawa, specializing in advanced electronic systems and coding.๐Ÿงฌ๐ŸŽ“

Experience๐Ÿ’ผ

๐ŸฉบCybersecurity Researcher (2023โ€“Present) – Mitacs/Thales: Developed RF fingerprinting techniques for UAV security. Regional Technical Manager (2017โ€“Present) – DC Group: Led teams in high-stakes electrical projects, achieving exceptional client satisfaction. Research Assistant (2022โ€“2023) – Royal Military College of Canada: Advanced automotive network security. Data Scientist Intern (2022โ€“2023) – Xlscout: Enhanced algorithms using NLP for semantic search.ย ๐Ÿ‘จโ€๐Ÿ”ฌ๐ŸŒ

Research Interests ๐Ÿ”ฌ

๐Ÿ”ฌSpecializes in Cybersecurity for IoT, UAVs, and AI agents, emphasizing machine learning, NLP, and physical layer security. His work integrates RF Signal Analysis and advanced algorithms to optimize security and communication systems.โ€‹ย ๐ŸŒฟ๐Ÿงช

Awards and Honors ๐Ÿ†

๐Ÿ†Mitacs Accelerate Grant (60,000 CAD) โ€“ 2024/2025. Mitacs Accelerate Grant (30,000 CAD) โ€“ 2023. DC Group Employee of the Month โ€“ 2020. University of Ottawa Excellence Scholarship โ€“ 2015-2017โ€‹โ€‹ย ๐Ÿ†๐ŸŽ‰

Conclusion ๐Ÿ”šย 

Nordine Quadar is a highly suitable candidate for the Best Researcher Award. His multidisciplinary expertise, combined with his leadership skills and impactful research contributions, make him a strong contender. By continuing to seek recognition and expanding his research collaborations, Nordine can further solidify his status as a leading researcher in his field.

Publications Top Notesย ๐Ÿ“š

Smart Water Distribution System Based on IoT Networks, a Critical Review

Authors: N. Quadar, A. Chehri, G. Jeon, A. Ahmad

Citations: 23

Year: 2021

Communication and Localization Techniques in VANET Network for Intelligent Traffic System in Smart Cities: A Review

Authors: A. Chehri, N. Quadar, R. Saadane

Citations: 15

Year: 2020

Survey on Localization Methods for Autonomous Vehicles in Smart Cities

Authors: A. Chehri, N. Quadar, R. Saadane

Citations: 14

Year: 2019

Cybersecurity Issues of IoT in Ambient Intelligence (AmI) Environment

Authors: N. Quadar, A. Chehri, G. Jeon, M. M. Hassan, G. Fortino

Citations: 11

Year: 2022

Visual Analytics Methods for Eye Tracking Data

Authors: N. Quadar, A. Chehri, G. Geon

Citations: 6

Year: 2021

IoT-AI/Machine Learning Experimental Testbeds: The Missing Piece

Authors: N. Quadar, M. Rahouti, M. Ayyash, S. K. Jagatheesaperumal, A. Chehri

Citations: 4

Year: 2024

Intrusion Detection Systems in Automotive Ethernet Networks: Challenges, Opportunities, and Future Research Trends

Authors: N. Quadar, A. Chehri, B. Debaque, I. Ahmed, G. Jeon

Citations: 2

Year: 2024

Wireless Security and IoT Device Identification Using RF Fingerprinting and Deep Learning

Authors: N. Quadar, A. Chehri, B. Debaque

Citations: Not yet available

Year: 2024

Permutation Spreading Technique Employing Spatial Modulation for MIMO-CDMA Systems

Authors: N. Quadar, C. D’Amours

Citations: Not yet available

Year: 2018

 

 

 

Luyao Zhao | Energy | Best Researcher Award

Dr. Luyao Zhao | Energy | Best Researcher Award

Student, Shenyang University of Technology, China

๐Ÿ”ฌ Luyao Zhao is a researcher and doctoral candidate at Shenyang University of Technology. With a strong foundation in materials science and engineering, Zhao has made significant contributions to the field of vibration energy harvesting and magnetostrictive materials. At just 28, Zhao has already co-authored several impactful papers and received prestigious awards for academic excellence.

Profile

Scopus

๐ŸŽ“ Education

Luyao Zhao pursued her undergraduate degree at Shenyang Ligong University from 2015 to 2019. She then completed her master’s studies at Shenyang University of Technology (2019-2022) and is currently working towards her doctoral degree at the same institution, starting in 2022.

๐Ÿ’ผ Experience

Zhao has been actively engaged in research and academia throughout her educational journey. Her focus has been on vibration energy harvesting, power generation technology, and flexible magnetostrictive materials. She has contributed to several high-impact papers and continues to push the boundaries of material science and engineering.

๐Ÿ”ฌ Research Interests

Zhao’s research primarily revolves around vibration energy harvesting and power generation technology. She has developed a magnetostrictive bistable vibration harvester with a displacement amplification mechanism, improving adaptability and output. Additionally, she investigates magneto-electric energy exchange materials and integrated flexible sensors, aiming to enhance wireless self-powered supply and signal transmission.

๐Ÿ† Awards

Zhao has received numerous awards, including the National Scholarship in 2021, the First Academic Scholarship in both April 2022 and April 2024, and the Outstanding Graduate Student award in September 2023. These accolades reflect her academic excellence and contribution to her field.

๐Ÿ“š Publications Top Notes

Huifang Liu, Luyao Zhao, Wanzhe Wang, et al. (2024). “Sensors and Actuators: A. Physical,” 378: 115838. JCR Q1, IF 4.1. Cited by Scholar Profile.

Luyao Zhao, Huifang Liu, Liang Shu, et al. (2024). “Materials Science & Processing: Applied Physics A,” 130, 44. JCR Q2, IF 2.5. Cited by Scholar Profile.

Luyao Zhao, Huifang Liu, Xutao Mei, et al. (2024). “Journal of Materials Science: Materials in Electronics,” JCR Q2, IF 2.8. Cited by Scholar Profile.

Huifang Liu, Luyao Zhao, Yunlong Chang, et al. (2021). “Energy Conversion and Management,” 243: 114361. JCR Q1, IF 9.9. Cited by Scholar Profile.

Huifang Liu, Luyao Zhao, Yunlong Chang, et al. (2022). “International Journal of Mechanical Sciences,” 223: 107291. JCR Q1, IF 7.1. Cited by Scholar Profile.

Conclusion

Luyao Zhao is a strong candidate for the Best Researcher Award due to his innovative contributions to vibration energy harvesting and flexible magnetostrictive materials. His high-quality publications and several notable academic achievements support his eligibility. To further strengthen his profile, Zhao might consider diversifying his research applications and fostering interdisciplinary collaborations to enhance the broader impact of his work.